Machine Learning Engineer

Job highlights

• The role involves hands-on experience in designing,developing,and deploying machine learning models,with a strong focus on scalable environments and modern CI / CD pipelines
• Bachelor s or Master s degree in Computer Science,Machine Learning (ML),Data Science,or a related field
• Experience with data preprocessing,feature engineering,and model evaluation

The client is hiring for Machine Learning Engineer jobs to join their team and work on cutting-edge machine learning technologies that solve complex business challenges. The role involves hands-on experience in designing, developing, and deploying machine learning models, with a strong focus on scalable environments and modern CI/CD pipelines.

Candidates for these Machine Learning Engineer jobs should bring deep technical expertise, collaborative skills, and a passion for continuous learning to drive the successful execution of ML projects.

Key Responsibilities

Algorithm Development:

• Design, develop, and implement machine learning algorithms to address specific business challenges.

• Collaborate with cross-functional teams to meet business objectives.

Data Analysis and Modeling:

• Perform exploratory data analysis and identify patterns in large datasets.

• Build, validate, and deploy machine learning models for predictive and prescriptive analytics.

Feature Engineering:

• Extract and engineer relevant features to enhance model performance.

• Optimize and fine-tune models for improved accuracy and efficiency.

Model Evaluation and Deployment:

• Conduct thorough evaluation of machine learning models using appropriate metrics.

• Deploy models into production environments, ensuring scalability, reliability, and performance.

Collaboration:

• Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications

• Educational Requirements:

• Bachelor s or Master s degree in Computer Science, Machine Learning (ML), Data Science, or a related field.

• Technical Skills:

• 5-6 years of hands-on experience in developing and deploying machine learning models.

• Proficiency in programming languages like Python, R, or Java.

• Experience with data preprocessing, feature engineering, and model evaluation.

• Expertise in ML frameworks like TensorFlow, PyTorch, and libraries like scikit-learn.

• DevOps and Automation Tools:

• Strong knowledge of CI/CD tools: Azure ML DevOps, Jenkins, GitLab CI/CD, Kubernetes.

• Experience with monitoring and logging systems: Azure Monitor, Prometheus, Grafana, ELK stack.

• Preferred Skills:

• Knowledge of ERP environments like Salesforce and SAP ECC.

• Proficiency in cloud and on-premises infrastructure.

• Excellent communication skills and ability to work in a collaborative environment.

Why Consider This Role?

• Growth Opportunities: Be at the forefront of cutting-edge machine learning developments.

• Global Exposure: Work with industry leaders and cutting-edge technologies.

• Supportive Environment: Collaborative culture fostering innovation and professional growth.